Perspectives on Quantum Optimum-Path Forest

Talk on quantum machine learning applications & networking with Prof. Dr. João Paulo Papa

Quantum computing emerged as a promising approach to cope with NP-hard problems. However, as the number of qubits increases, their fault tolerance decreases exponentially, characterizing the so-called Noisy Intermediate-Scale Quantum (NISQ) era. Moreover, the number of qubits available in quantum computers is far from the ideal.
This talk reviews fundamental concepts about quantum machine learning and two applications: question-answering in natural language processing and pattern classification using the Optimum-Path Forest.
Meet Professor Papa at a small reception in front of the lecture hall with beer and pretzels!